Machine Learning, Volume 59, 2005

Volume 59, Number 1-2, May 2005

• Shimon Whiteson, Nate Kohl, Risto Miikkulainen, Peter Stone:
  Evolving Soccer Keepaway Players Through Task Decomposition. 5-30
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• Shin Ishii, Hajime Fujita, Masaoki Mitsutake, Tatsuya Yamazaki, Jun Matsuda, Yoichiro Matsuno:
  A Reinforcement Learning Scheme for a Partially-Observable Multi-Agent Game. 31-54
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• Thore Graepel, Ralf Herbrich, John Shawe-Taylor:
  PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification. 55-76
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• Glenn Fung, Olvi L. Mangasarian:
  Multicategory Proximal Support Vector Machine Classifiers. 77-97
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• Nader H. Bshouty, Lynn Burroughs:
  Maximizing Agreements with One-Sided Error with Applications to Heuristic Learning. 99-123
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• Gilles Stoltz, Gábor Lugosi:
  Internal Regret in On-Line Portfolio Selection. 125-159
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• Niels Landwehr, Mark Hall, Eibe Frank:
  Logistic Model Trees. 161-205
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Volume 59, Number 3, June 2005

• Pedro Larrañaga, José Antonio Lozano, José Manuel Peña, Iñaki Inza:
  Editorial. 211-212
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• Silvia Acid, Luis M. de Campos, Javier Gomez Castellano:
  Learning Bayesian Network Classifiers: Searching in a Space of Partially Directed Acyclic Graphs. 213-235
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• Helge Langseth, Thomas D. Nielsen:
  Latent Classification Models. 237-265
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• Teemu Roos, Hannes Wettig, Peter Grünwald, Petri Myllymäki, Henry Tirri:
  On Discriminative Bayesian Network Classifiers and Logistic Regression. 267-296
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• Russell Greiner, Xiaoyuan Su, Bin Shen, Wei Zhou:
  Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers. 297-322
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• Jesús Cerquides, Ramon López de Mántaras:
  TAN Classifiers Based on Decomposable Distributions. 323-354
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